Parallel Problem Solving from Nature – PPSN XIV

Discover the cutting-edge insights in "Parallel Problem Solving from Nature – PPSN XIV," edited by Julia Handl and published by Springer International Publishing AG in 2016. This comprehensive 1st edition spans an impressive 1026 pages, making it an essential resource for researchers and practitioners in the field of evolutionary algorithms.

This volume delves into the theory of parallel evolutionary algorithms, emphasizing the importance of promoting diversity in evolutionary optimization. Explore key topics such as evolutionary multi-objective optimization and the intricate relationship between optimization over manifolds and evolutionary computation. Additionally, gain a foundational understanding of the runtime analysis of evolutionary algorithms.

Whether you are a seasoned expert or new to the field, this book offers valuable perspectives and methodologies that will enhance your understanding of parallel problem-solving techniques inspired by nature.